Why the study?
Current workflows for anatomical and functional twinning phases in cardiac digital twin generation are not sufficiently efficient, robust, or accurate for advanced clinical and industrial applications.
Population
12 subjects with clinically-attained magnetic resonance images
Comparison
Fast-forward ECG model vs gold standard bidomain ECG model
Design
Proof-of-concept simulation and modeling study
Authors
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Supports scalable cardiac digital twin creation from routine data; leaves open prospective validation and clinical utility.
A novel computational workflow enables the efficient and robust generation of high-fidelity cardiac digital twins from clinical MRI and 12-lead ECG data.
Gillette et al. (2021) studied this question.
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